[HTML][HTML] UCell: Robust and scalable single-cell gene signature scoring

M Andreatta, SJ Carmona - Computational and structural biotechnology …, 2021 - Elsevier
Computational and structural biotechnology journal, 2021Elsevier
UCell is an R package for evaluating gene signatures in single-cell datasets. UCell
signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and
heterogeneity, and their calculation demands less computing time and memory than other
available methods, enabling the processing of large datasets in a few minutes even on
machines with limited computing power. UCell can be applied to any single-cell data matrix,
and includes functions to directly interact with Seurat objects. The UCell package and …
Abstract
UCell is an R package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with Seurat objects. The UCell package and documentation are available on GitHub at https://github.com/carmonalab/UCell.
Elsevier